Overview

Dataset statistics

Number of variables29
Number of observations8
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory248.0 B

Variable types

Categorical4
Numeric25

Alerts

country has constant value ""Constant
subnational1 has constant value ""Constant
area_ha has constant value ""Constant
gain_2000-2020_ha has constant value ""Constant
extent_2000_ha is highly overall correlated with extent_2010_ha and 23 other fieldsHigh correlation
extent_2010_ha is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2001 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2002 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2003 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2004 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2005 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2006 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2007 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2008 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2009 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2010 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2011 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2012 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2013 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2014 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2015 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2016 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2017 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2018 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2019 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2020 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2021 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
tc_loss_ha_2022 is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
threshold is highly overall correlated with extent_2000_ha and 23 other fieldsHigh correlation
threshold has unique valuesUnique
extent_2000_ha has unique valuesUnique
extent_2010_ha has unique valuesUnique
tc_loss_ha_2001 has unique valuesUnique
tc_loss_ha_2002 has unique valuesUnique
tc_loss_ha_2003 has unique valuesUnique
tc_loss_ha_2004 has unique valuesUnique
tc_loss_ha_2005 has unique valuesUnique
tc_loss_ha_2006 has unique valuesUnique
tc_loss_ha_2007 has unique valuesUnique
tc_loss_ha_2008 has unique valuesUnique
tc_loss_ha_2009 has unique valuesUnique
tc_loss_ha_2010 has unique valuesUnique
tc_loss_ha_2011 has unique valuesUnique
tc_loss_ha_2012 has unique valuesUnique
tc_loss_ha_2013 has unique valuesUnique
tc_loss_ha_2014 has unique valuesUnique
tc_loss_ha_2015 has unique valuesUnique
tc_loss_ha_2016 has unique valuesUnique
tc_loss_ha_2017 has unique valuesUnique
tc_loss_ha_2018 has unique valuesUnique
tc_loss_ha_2019 has unique valuesUnique
tc_loss_ha_2020 has unique valuesUnique
tc_loss_ha_2021 has unique valuesUnique
tc_loss_ha_2022 has unique valuesUnique
threshold has 1 (12.5%) zerosZeros
tc_loss_ha_2019 has 1 (12.5%) zerosZeros
tc_loss_ha_2021 has 1 (12.5%) zerosZeros
tc_loss_ha_2022 has 1 (12.5%) zerosZeros

Reproduction

Analysis started2024-05-04 16:40:12.446810
Analysis finished2024-05-04 16:41:57.889922
Duration1 minute and 45.44 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

country
Categorical

CONSTANT 

Distinct1
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size192.0 B
India

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters40
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndia
2nd rowIndia
3rd rowIndia
4th rowIndia
5th rowIndia

Common Values

ValueCountFrequency (%)
India 8
100.0%

Length

2024-05-04T16:41:57.988267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T16:41:58.156206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
india 8
100.0%

Most occurring characters

ValueCountFrequency (%)
I 8
20.0%
n 8
20.0%
d 8
20.0%
i 8
20.0%
a 8
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 8
20.0%
n 8
20.0%
d 8
20.0%
i 8
20.0%
a 8
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 8
20.0%
n 8
20.0%
d 8
20.0%
i 8
20.0%
a 8
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 8
20.0%
n 8
20.0%
d 8
20.0%
i 8
20.0%
a 8
20.0%

subnational1
Categorical

CONSTANT 

Distinct1
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size192.0 B
Madhya Pradesh

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters112
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMadhya Pradesh
2nd rowMadhya Pradesh
3rd rowMadhya Pradesh
4th rowMadhya Pradesh
5th rowMadhya Pradesh

Common Values

ValueCountFrequency (%)
Madhya Pradesh 8
100.0%

Length

2024-05-04T16:41:58.284378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T16:41:58.444594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
madhya 8
50.0%
pradesh 8
50.0%

Most occurring characters

ValueCountFrequency (%)
a 24
21.4%
d 16
14.3%
h 16
14.3%
M 8
 
7.1%
y 8
 
7.1%
8
 
7.1%
P 8
 
7.1%
r 8
 
7.1%
e 8
 
7.1%
s 8
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 112
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 24
21.4%
d 16
14.3%
h 16
14.3%
M 8
 
7.1%
y 8
 
7.1%
8
 
7.1%
P 8
 
7.1%
r 8
 
7.1%
e 8
 
7.1%
s 8
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 112
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 24
21.4%
d 16
14.3%
h 16
14.3%
M 8
 
7.1%
y 8
 
7.1%
8
 
7.1%
P 8
 
7.1%
r 8
 
7.1%
e 8
 
7.1%
s 8
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 112
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 24
21.4%
d 16
14.3%
h 16
14.3%
M 8
 
7.1%
y 8
 
7.1%
8
 
7.1%
P 8
 
7.1%
r 8
 
7.1%
e 8
 
7.1%
s 8
 
7.1%

threshold
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.125
Minimum0
Maximum75
Zeros1
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:41:58.560598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q113.75
median22.5
Q335
95-th percentile66.25
Maximum75
Range75
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation24.04423
Coefficient of variation (CV)0.85490596
Kurtosis1.0750972
Mean28.125
Median Absolute Deviation (MAD)10
Skewness1.1296749
Sum225
Variance578.125
MonotonicityStrictly increasing
2024-05-04T16:41:58.700399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1
12.5%
10 1
12.5%
15 1
12.5%
20 1
12.5%
25 1
12.5%
30 1
12.5%
50 1
12.5%
75 1
12.5%
ValueCountFrequency (%)
0 1
12.5%
10 1
12.5%
15 1
12.5%
20 1
12.5%
25 1
12.5%
30 1
12.5%
50 1
12.5%
75 1
12.5%
ValueCountFrequency (%)
75 1
12.5%
50 1
12.5%
30 1
12.5%
25 1
12.5%
20 1
12.5%
15 1
12.5%
10 1
12.5%
0 1
12.5%

area_ha
Categorical

CONSTANT 

Distinct1
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size192.0 B
30805387

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters64
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30805387
2nd row30805387
3rd row30805387
4th row30805387
5th row30805387

Common Values

ValueCountFrequency (%)
30805387 8
100.0%

Length

2024-05-04T16:41:58.854397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T16:41:59.001296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
30805387 8
100.0%

Most occurring characters

ValueCountFrequency (%)
3 16
25.0%
0 16
25.0%
8 16
25.0%
5 8
12.5%
7 8
12.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 64
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 16
25.0%
0 16
25.0%
8 16
25.0%
5 8
12.5%
7 8
12.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 64
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 16
25.0%
0 16
25.0%
8 16
25.0%
5 8
12.5%
7 8
12.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 64
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 16
25.0%
0 16
25.0%
8 16
25.0%
5 8
12.5%
7 8
12.5%

extent_2000_ha
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4929775.1
Minimum15065
Maximum30805387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:41:59.115577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum15065
5-th percentile164196.85
Q1918852
median1507022.5
Q31911272
95-th percentile20829955
Maximum30805387
Range30790322
Interquartile range (IQR)992420

Descriptive statistics

Standard deviation10481018
Coefficient of variation (CV)2.1260641
Kurtosis7.8832197
Mean4929775.1
Median Absolute Deviation (MAD)613034
Skewness2.8006302
Sum39438201
Variance1.0985174 × 1014
MonotonicityStrictly decreasing
2024-05-04T16:41:59.278612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
30805387 1
12.5%
2304152 1
12.5%
1780312 1
12.5%
1636993 1
12.5%
1377052 1
12.5%
1078084 1
12.5%
441156 1
12.5%
15065 1
12.5%
ValueCountFrequency (%)
15065 1
12.5%
441156 1
12.5%
1078084 1
12.5%
1377052 1
12.5%
1636993 1
12.5%
1780312 1
12.5%
2304152 1
12.5%
30805387 1
12.5%
ValueCountFrequency (%)
30805387 1
12.5%
2304152 1
12.5%
1780312 1
12.5%
1636993 1
12.5%
1377052 1
12.5%
1078084 1
12.5%
441156 1
12.5%
15065 1
12.5%

extent_2010_ha
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4630508.6
Minimum6822
Maximum30805387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:41:59.429974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6822
5-th percentile62573.85
Q1691601.25
median1134412.5
Q31349254.5
95-th percentile20617356
Maximum30805387
Range30798565
Interquartile range (IQR)657653.25

Descriptive statistics

Standard deviation10591071
Coefficient of variation (CV)2.2872372
Kurtosis7.9331837
Mean4630508.6
Median Absolute Deviation (MAD)414982
Skewness2.8125404
Sum37044069
Variance1.1217079 × 1014
MonotonicityStrictly decreasing
2024-05-04T16:41:59.578167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
30805387 1
12.5%
1696728 1
12.5%
1233430 1
12.5%
1177042 1
12.5%
1091783 1
12.5%
866764 1
12.5%
166113 1
12.5%
6822 1
12.5%
ValueCountFrequency (%)
6822 1
12.5%
166113 1
12.5%
866764 1
12.5%
1091783 1
12.5%
1177042 1
12.5%
1233430 1
12.5%
1696728 1
12.5%
30805387 1
12.5%
ValueCountFrequency (%)
30805387 1
12.5%
1696728 1
12.5%
1233430 1
12.5%
1177042 1
12.5%
1091783 1
12.5%
866764 1
12.5%
166113 1
12.5%
6822 1
12.5%

gain_2000-2020_ha
Categorical

CONSTANT 

Distinct1
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size192.0 B
46558

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters40
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46558
2nd row46558
3rd row46558
4th row46558
5th row46558

Common Values

ValueCountFrequency (%)
46558 8
100.0%

Length

2024-05-04T16:41:59.737985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T16:41:59.900306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
46558 8
100.0%

Most occurring characters

ValueCountFrequency (%)
5 16
40.0%
4 8
20.0%
6 8
20.0%
8 8
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 16
40.0%
4 8
20.0%
6 8
20.0%
8 8
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 16
40.0%
4 8
20.0%
6 8
20.0%
8 8
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 40
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 16
40.0%
4 8
20.0%
6 8
20.0%
8 8
20.0%

tc_loss_ha_2001
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.125
Minimum185
Maximum778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:00.019859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum185
5-th percentile259.2
Q1572.5
median657.5
Q3689.75
95-th percentile753.15
Maximum778
Range593
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation196.68498
Coefficient of variation (CV)0.33499678
Kurtosis1.7800594
Mean587.125
Median Absolute Deviation (MAD)38
Skewness-1.5354565
Sum4697
Variance38684.982
MonotonicityStrictly decreasing
2024-05-04T16:42:00.159158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
778 1
12.5%
707 1
12.5%
684 1
12.5%
679 1
12.5%
636 1
12.5%
631 1
12.5%
397 1
12.5%
185 1
12.5%
ValueCountFrequency (%)
185 1
12.5%
397 1
12.5%
631 1
12.5%
636 1
12.5%
679 1
12.5%
684 1
12.5%
707 1
12.5%
778 1
12.5%
ValueCountFrequency (%)
778 1
12.5%
707 1
12.5%
684 1
12.5%
679 1
12.5%
636 1
12.5%
631 1
12.5%
397 1
12.5%
185 1
12.5%

tc_loss_ha_2002
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean372.375
Minimum94
Maximum553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:00.299335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile135.65
Q1342.75
median413.5
Q3445
95-th percentile523.6
Maximum553
Range459
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation148.01538
Coefficient of variation (CV)0.39749012
Kurtosis0.69523339
Mean372.375
Median Absolute Deviation (MAD)41.5
Skewness-1.0760679
Sum2979
Variance21908.554
MonotonicityStrictly decreasing
2024-05-04T16:42:00.438771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
553 1
12.5%
469 1
12.5%
437 1
12.5%
433 1
12.5%
394 1
12.5%
386 1
12.5%
213 1
12.5%
94 1
12.5%
ValueCountFrequency (%)
94 1
12.5%
213 1
12.5%
386 1
12.5%
394 1
12.5%
433 1
12.5%
437 1
12.5%
469 1
12.5%
553 1
12.5%
ValueCountFrequency (%)
553 1
12.5%
469 1
12.5%
437 1
12.5%
433 1
12.5%
394 1
12.5%
386 1
12.5%
213 1
12.5%
94 1
12.5%

tc_loss_ha_2003
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.25
Minimum47
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:00.575243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile90.05
Q1302
median375
Q3409
95-th percentile494.35
Maximum529
Range482
Interquartile range (IQR)107

Descriptive statistics

Standard deviation153.81041
Coefficient of variation (CV)0.46016578
Kurtosis0.67176051
Mean334.25
Median Absolute Deviation (MAD)42
Skewness-1.010402
Sum2674
Variance23657.643
MonotonicityStrictly decreasing
2024-05-04T16:42:00.712091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
529 1
12.5%
430 1
12.5%
402 1
12.5%
397 1
12.5%
353 1
12.5%
346 1
12.5%
170 1
12.5%
47 1
12.5%
ValueCountFrequency (%)
47 1
12.5%
170 1
12.5%
346 1
12.5%
353 1
12.5%
397 1
12.5%
402 1
12.5%
430 1
12.5%
529 1
12.5%
ValueCountFrequency (%)
529 1
12.5%
430 1
12.5%
402 1
12.5%
397 1
12.5%
353 1
12.5%
346 1
12.5%
170 1
12.5%
47 1
12.5%

tc_loss_ha_2004
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean499.75
Minimum64
Maximum759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:00.852823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile130.5
Q1458.75
median569
Q3618.5
95-th percentile719.8
Maximum759
Range695
Interquartile range (IQR)159.75

Descriptive statistics

Standard deviation227.87261
Coefficient of variation (CV)0.45597322
Kurtosis0.81429272
Mean499.75
Median Absolute Deviation (MAD)60
Skewness-1.200085
Sum3998
Variance51925.929
MonotonicityStrictly decreasing
2024-05-04T16:42:00.986843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
759 1
12.5%
647 1
12.5%
609 1
12.5%
601 1
12.5%
537 1
12.5%
527 1
12.5%
254 1
12.5%
64 1
12.5%
ValueCountFrequency (%)
64 1
12.5%
254 1
12.5%
527 1
12.5%
537 1
12.5%
601 1
12.5%
609 1
12.5%
647 1
12.5%
759 1
12.5%
ValueCountFrequency (%)
759 1
12.5%
647 1
12.5%
609 1
12.5%
601 1
12.5%
537 1
12.5%
527 1
12.5%
254 1
12.5%
64 1
12.5%

tc_loss_ha_2005
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean643.25
Minimum52
Maximum981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:01.139580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile154.55
Q1609
median736.5
Q3785
95-th percentile927.1
Maximum981
Range929
Interquartile range (IQR)176

Descriptive statistics

Standard deviation298.65735
Coefficient of variation (CV)0.46429437
Kurtosis1.3387579
Mean643.25
Median Absolute Deviation (MAD)65
Skewness-1.3172871
Sum5146
Variance89196.214
MonotonicityStrictly decreasing
2024-05-04T16:42:01.292497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
981 1
12.5%
827 1
12.5%
771 1
12.5%
763 1
12.5%
710 1
12.5%
697 1
12.5%
345 1
12.5%
52 1
12.5%
ValueCountFrequency (%)
52 1
12.5%
345 1
12.5%
697 1
12.5%
710 1
12.5%
763 1
12.5%
771 1
12.5%
827 1
12.5%
981 1
12.5%
ValueCountFrequency (%)
981 1
12.5%
827 1
12.5%
771 1
12.5%
763 1
12.5%
710 1
12.5%
697 1
12.5%
345 1
12.5%
52 1
12.5%

tc_loss_ha_2006
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean777.5
Minimum56
Maximum1168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:01.438236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile184.8
Q1735.25
median896
Q3958.25
95-th percentile1107.45
Maximum1168
Range1112
Interquartile range (IQR)223

Descriptive statistics

Standard deviation360.31336
Coefficient of variation (CV)0.46342554
Kurtosis1.4788431
Mean777.5
Median Absolute Deviation (MAD)78
Skewness-1.3862495
Sum6220
Variance129825.71
MonotonicityStrictly decreasing
2024-05-04T16:42:01.576189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1168 1
12.5%
995 1
12.5%
946 1
12.5%
936 1
12.5%
856 1
12.5%
839 1
12.5%
424 1
12.5%
56 1
12.5%
ValueCountFrequency (%)
56 1
12.5%
424 1
12.5%
839 1
12.5%
856 1
12.5%
936 1
12.5%
946 1
12.5%
995 1
12.5%
1168 1
12.5%
ValueCountFrequency (%)
1168 1
12.5%
995 1
12.5%
946 1
12.5%
936 1
12.5%
856 1
12.5%
839 1
12.5%
424 1
12.5%
56 1
12.5%

tc_loss_ha_2007
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean508.625
Minimum38
Maximum846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:01.729400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile110.1
Q1456.25
median570.5
Q3624.75
95-th percentile780.9
Maximum846
Range808
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation253.26437
Coefficient of variation (CV)0.49793928
Kurtosis0.73611293
Mean508.625
Median Absolute Deviation (MAD)66.5
Skewness-0.92554506
Sum4069
Variance64142.839
MonotonicityStrictly decreasing
2024-05-04T16:42:01.883951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
846 1
12.5%
660 1
12.5%
613 1
12.5%
601 1
12.5%
540 1
12.5%
527 1
12.5%
244 1
12.5%
38 1
12.5%
ValueCountFrequency (%)
38 1
12.5%
244 1
12.5%
527 1
12.5%
540 1
12.5%
601 1
12.5%
613 1
12.5%
660 1
12.5%
846 1
12.5%
ValueCountFrequency (%)
846 1
12.5%
660 1
12.5%
613 1
12.5%
601 1
12.5%
540 1
12.5%
527 1
12.5%
244 1
12.5%
38 1
12.5%

tc_loss_ha_2008
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520
Minimum28
Maximum819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:02.051962image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile123.2
Q1491.25
median586.5
Q3629.75
95-th percentile766.15
Maximum819
Range791
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation245.53382
Coefficient of variation (CV)0.47218042
Kurtosis1.6618184
Mean520
Median Absolute Deviation (MAD)56.5
Skewness-1.2620213
Sum4160
Variance60286.857
MonotonicityStrictly decreasing
2024-05-04T16:42:02.195787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
819 1
12.5%
668 1
12.5%
617 1
12.5%
606 1
12.5%
567 1
12.5%
555 1
12.5%
300 1
12.5%
28 1
12.5%
ValueCountFrequency (%)
28 1
12.5%
300 1
12.5%
555 1
12.5%
567 1
12.5%
606 1
12.5%
617 1
12.5%
668 1
12.5%
819 1
12.5%
ValueCountFrequency (%)
819 1
12.5%
668 1
12.5%
617 1
12.5%
606 1
12.5%
567 1
12.5%
555 1
12.5%
300 1
12.5%
28 1
12.5%

tc_loss_ha_2009
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean480.75
Minimum45
Maximum725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:02.358682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile143.7
Q1462.75
median535.5
Q3573
95-th percentile684.4
Maximum725
Range680
Interquartile range (IQR)110.25

Descriptive statistics

Standard deviation208.21881
Coefficient of variation (CV)0.43311244
Kurtosis2.4900175
Mean480.75
Median Absolute Deviation (MAD)50.5
Skewness-1.4498856
Sum3846
Variance43355.071
MonotonicityStrictly decreasing
2024-05-04T16:42:02.496983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
725 1
12.5%
609 1
12.5%
561 1
12.5%
554 1
12.5%
517 1
12.5%
508 1
12.5%
327 1
12.5%
45 1
12.5%
ValueCountFrequency (%)
45 1
12.5%
327 1
12.5%
508 1
12.5%
517 1
12.5%
554 1
12.5%
561 1
12.5%
609 1
12.5%
725 1
12.5%
ValueCountFrequency (%)
725 1
12.5%
609 1
12.5%
561 1
12.5%
554 1
12.5%
517 1
12.5%
508 1
12.5%
327 1
12.5%
45 1
12.5%

tc_loss_ha_2010
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.625
Minimum18
Maximum283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:02.644934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile60.35
Q1186.25
median208.5
Q3220.5
95-th percentile265.85
Maximum283
Range265
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation79.537839
Coefficient of variation (CV)0.42167178
Kurtosis3.1369867
Mean188.625
Median Absolute Deviation (MAD)16.5
Skewness-1.5579233
Sum1509
Variance6326.2679
MonotonicityStrictly decreasing
2024-05-04T16:42:02.784838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
283 1
12.5%
234 1
12.5%
216 1
12.5%
212 1
12.5%
205 1
12.5%
202 1
12.5%
139 1
12.5%
18 1
12.5%
ValueCountFrequency (%)
18 1
12.5%
139 1
12.5%
202 1
12.5%
205 1
12.5%
212 1
12.5%
216 1
12.5%
234 1
12.5%
283 1
12.5%
ValueCountFrequency (%)
283 1
12.5%
234 1
12.5%
216 1
12.5%
212 1
12.5%
205 1
12.5%
202 1
12.5%
139 1
12.5%
18 1
12.5%

tc_loss_ha_2011
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean740
Minimum46
Maximum1089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:02.929953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile194.05
Q1719.5
median844.5
Q3895
95-th percentile1038.95
Maximum1089
Range1043
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation330.6634
Coefficient of variation (CV)0.44684244
Kurtosis2.4046035
Mean740
Median Absolute Deviation (MAD)71.5
Skewness-1.5666808
Sum5920
Variance109338.29
MonotonicityStrictly decreasing
2024-05-04T16:42:03.081650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1089 1
12.5%
946 1
12.5%
878 1
12.5%
869 1
12.5%
820 1
12.5%
803 1
12.5%
469 1
12.5%
46 1
12.5%
ValueCountFrequency (%)
46 1
12.5%
469 1
12.5%
803 1
12.5%
820 1
12.5%
869 1
12.5%
878 1
12.5%
946 1
12.5%
1089 1
12.5%
ValueCountFrequency (%)
1089 1
12.5%
946 1
12.5%
878 1
12.5%
869 1
12.5%
820 1
12.5%
803 1
12.5%
469 1
12.5%
46 1
12.5%

tc_loss_ha_2012
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean426.875
Minimum17
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:03.234574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile63.9
Q1338.5
median460.5
Q3520.75
95-th percentile751.1
Maximum840
Range823
Interquartile range (IQR)182.25

Descriptive statistics

Standard deviation253.26183
Coefficient of variation (CV)0.59329272
Kurtosis0.41861652
Mean426.875
Median Absolute Deviation (MAD)92.5
Skewness-0.17359883
Sum3415
Variance64141.554
MonotonicityStrictly decreasing
2024-05-04T16:42:03.397331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
840 1
12.5%
586 1
12.5%
499 1
12.5%
480 1
12.5%
441 1
12.5%
401 1
12.5%
151 1
12.5%
17 1
12.5%
ValueCountFrequency (%)
17 1
12.5%
151 1
12.5%
401 1
12.5%
441 1
12.5%
480 1
12.5%
499 1
12.5%
586 1
12.5%
840 1
12.5%
ValueCountFrequency (%)
840 1
12.5%
586 1
12.5%
499 1
12.5%
480 1
12.5%
441 1
12.5%
401 1
12.5%
151 1
12.5%
17 1
12.5%

tc_loss_ha_2013
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean422.625
Minimum2
Maximum835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:03.544174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile48.9
Q1314.5
median468.5
Q3530.75
95-th percentile747.15
Maximum835
Range833
Interquartile range (IQR)216.25

Descriptive statistics

Standard deviation259.22849
Coefficient of variation (CV)0.61337709
Kurtosis0.24278393
Mean422.625
Median Absolute Deviation (MAD)105
Skewness-0.2488221
Sum3381
Variance67199.411
MonotonicityStrictly decreasing
2024-05-04T16:42:03.689537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
835 1
12.5%
584 1
12.5%
513 1
12.5%
484 1
12.5%
453 1
12.5%
374 1
12.5%
136 1
12.5%
2 1
12.5%
ValueCountFrequency (%)
2 1
12.5%
136 1
12.5%
374 1
12.5%
453 1
12.5%
484 1
12.5%
513 1
12.5%
584 1
12.5%
835 1
12.5%
ValueCountFrequency (%)
835 1
12.5%
584 1
12.5%
513 1
12.5%
484 1
12.5%
453 1
12.5%
374 1
12.5%
136 1
12.5%
2 1
12.5%

tc_loss_ha_2014
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.125
Minimum6
Maximum905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:03.839350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile67.6
Q1371.75
median525
Q3586.25
95-th percentile811.55
Maximum905
Range899
Interquartile range (IQR)214.5

Descriptive statistics

Standard deviation275.97538
Coefficient of variation (CV)0.58330331
Kurtosis0.44511221
Mean473.125
Median Absolute Deviation (MAD)101.5
Skewness-0.36606139
Sum3785
Variance76162.411
MonotonicityStrictly decreasing
2024-05-04T16:42:03.980264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
905 1
12.5%
638 1
12.5%
569 1
12.5%
540 1
12.5%
510 1
12.5%
435 1
12.5%
182 1
12.5%
6 1
12.5%
ValueCountFrequency (%)
6 1
12.5%
182 1
12.5%
435 1
12.5%
510 1
12.5%
540 1
12.5%
569 1
12.5%
638 1
12.5%
905 1
12.5%
ValueCountFrequency (%)
905 1
12.5%
638 1
12.5%
569 1
12.5%
540 1
12.5%
510 1
12.5%
435 1
12.5%
182 1
12.5%
6 1
12.5%

tc_loss_ha_2015
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.875
Minimum1
Maximum489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:04.113376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.9
Q1227
median332
Q3363.75
95-th percentile453.3
Maximum489
Range488
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation159.74841
Coefficient of variation (CV)0.56473144
Kurtosis0.11469455
Mean282.875
Median Absolute Deviation (MAD)58
Skewness-0.86337683
Sum2263
Variance25519.554
MonotonicityStrictly decreasing
2024-05-04T16:42:04.276504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
489 1
12.5%
387 1
12.5%
356 1
12.5%
343 1
12.5%
321 1
12.5%
271 1
12.5%
95 1
12.5%
1 1
12.5%
ValueCountFrequency (%)
1 1
12.5%
95 1
12.5%
271 1
12.5%
321 1
12.5%
343 1
12.5%
356 1
12.5%
387 1
12.5%
489 1
12.5%
ValueCountFrequency (%)
489 1
12.5%
387 1
12.5%
356 1
12.5%
343 1
12.5%
321 1
12.5%
271 1
12.5%
95 1
12.5%
1 1
12.5%

tc_loss_ha_2016
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.375
Minimum3
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:04.446731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile54.1
Q1326.75
median476.5
Q3521.75
95-th percentile655.8
Maximum709
Range706
Interquartile range (IQR)195

Descriptive statistics

Standard deviation228.26172
Coefficient of variation (CV)0.55895125
Kurtosis0.19605696
Mean408.375
Median Absolute Deviation (MAD)85.5
Skewness-0.83008963
Sum3267
Variance52103.411
MonotonicityStrictly decreasing
2024-05-04T16:42:04.587330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
709 1
12.5%
557 1
12.5%
510 1
12.5%
493 1
12.5%
460 1
12.5%
386 1
12.5%
149 1
12.5%
3 1
12.5%
ValueCountFrequency (%)
3 1
12.5%
149 1
12.5%
386 1
12.5%
460 1
12.5%
493 1
12.5%
510 1
12.5%
557 1
12.5%
709 1
12.5%
ValueCountFrequency (%)
709 1
12.5%
557 1
12.5%
510 1
12.5%
493 1
12.5%
460 1
12.5%
386 1
12.5%
149 1
12.5%
3 1
12.5%

tc_loss_ha_2017
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.125
Minimum2
Maximum535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:04.735419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile36.3
Q1230.5
median374
Q3418
95-th percentile503.5
Maximum535
Range533
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation180.32307
Coefficient of variation (CV)0.57404878
Kurtosis-0.23370137
Mean314.125
Median Absolute Deviation (MAD)85.5
Skewness-0.84049397
Sum2513
Variance32516.411
MonotonicityStrictly decreasing
2024-05-04T16:42:04.888958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
535 1
12.5%
445 1
12.5%
409 1
12.5%
392 1
12.5%
356 1
12.5%
274 1
12.5%
100 1
12.5%
2 1
12.5%
ValueCountFrequency (%)
2 1
12.5%
100 1
12.5%
274 1
12.5%
356 1
12.5%
392 1
12.5%
409 1
12.5%
445 1
12.5%
535 1
12.5%
ValueCountFrequency (%)
535 1
12.5%
445 1
12.5%
409 1
12.5%
392 1
12.5%
356 1
12.5%
274 1
12.5%
100 1
12.5%
2 1
12.5%

tc_loss_ha_2018
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.625
Minimum7
Maximum405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:05.035846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile49
Q1233.5
median310.5
Q3334.5
95-th percentile386.1
Maximum405
Range398
Interquartile range (IQR)101

Descriptive statistics

Standard deviation131.46747
Coefficient of variation (CV)0.49869122
Kurtosis1.0373208
Mean263.625
Median Absolute Deviation (MAD)41
Skewness-1.2953099
Sum2109
Variance17283.696
MonotonicityStrictly decreasing
2024-05-04T16:42:05.191400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
405 1
12.5%
351 1
12.5%
329 1
12.5%
319 1
12.5%
302 1
12.5%
269 1
12.5%
127 1
12.5%
7 1
12.5%
ValueCountFrequency (%)
7 1
12.5%
127 1
12.5%
269 1
12.5%
302 1
12.5%
319 1
12.5%
329 1
12.5%
351 1
12.5%
405 1
12.5%
ValueCountFrequency (%)
405 1
12.5%
351 1
12.5%
329 1
12.5%
319 1
12.5%
302 1
12.5%
269 1
12.5%
127 1
12.5%
7 1
12.5%

tc_loss_ha_2019
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.875
Minimum0
Maximum127
Zeros1
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:05.361599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.75
Q176.5
median98.5
Q3106.25
95-th percentile121.05
Maximum127
Range127
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation41.377832
Coefficient of variation (CV)0.49332736
Kurtosis1.6506283
Mean83.875
Median Absolute Deviation (MAD)11.5
Skewness-1.4371389
Sum671
Variance1712.125
MonotonicityStrictly decreasing
2024-05-04T16:42:05.507336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
127 1
12.5%
110 1
12.5%
105 1
12.5%
101 1
12.5%
96 1
12.5%
87 1
12.5%
45 1
12.5%
0 1
12.5%
ValueCountFrequency (%)
0 1
12.5%
45 1
12.5%
87 1
12.5%
96 1
12.5%
101 1
12.5%
105 1
12.5%
110 1
12.5%
127 1
12.5%
ValueCountFrequency (%)
127 1
12.5%
110 1
12.5%
105 1
12.5%
101 1
12.5%
96 1
12.5%
87 1
12.5%
45 1
12.5%
0 1
12.5%

tc_loss_ha_2020
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.375
Minimum1
Maximum343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:05.643737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.9
Q1264
median306
Q3319.75
95-th percentile337.75
Maximum343
Range342
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation114.04628
Coefficient of variation (CV)0.43800779
Kurtosis4.4865221
Mean260.375
Median Absolute Deviation (MAD)20.5
Skewness-2.1139783
Sum2083
Variance13006.554
MonotonicityStrictly decreasing
2024-05-04T16:42:05.780526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
343 1
12.5%
328 1
12.5%
317 1
12.5%
309 1
12.5%
303 1
12.5%
287 1
12.5%
195 1
12.5%
1 1
12.5%
ValueCountFrequency (%)
1 1
12.5%
195 1
12.5%
287 1
12.5%
303 1
12.5%
309 1
12.5%
317 1
12.5%
328 1
12.5%
343 1
12.5%
ValueCountFrequency (%)
343 1
12.5%
328 1
12.5%
317 1
12.5%
309 1
12.5%
303 1
12.5%
287 1
12.5%
195 1
12.5%
1 1
12.5%

tc_loss_ha_2021
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.875
Minimum0
Maximum54
Zeros1
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:05.929367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q123
median31
Q335.75
95-th percentile49.45
Maximum54
Range54
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation16.383245
Coefficient of variation (CV)0.56738511
Kurtosis0.64462882
Mean28.875
Median Absolute Deviation (MAD)7.5
Skewness-0.41497779
Sum231
Variance268.41071
MonotonicityStrictly decreasing
2024-05-04T16:42:06.072246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
54 1
12.5%
41 1
12.5%
34 1
12.5%
32 1
12.5%
30 1
12.5%
26 1
12.5%
14 1
12.5%
0 1
12.5%
ValueCountFrequency (%)
0 1
12.5%
14 1
12.5%
26 1
12.5%
30 1
12.5%
32 1
12.5%
34 1
12.5%
41 1
12.5%
54 1
12.5%
ValueCountFrequency (%)
54 1
12.5%
41 1
12.5%
34 1
12.5%
32 1
12.5%
30 1
12.5%
26 1
12.5%
14 1
12.5%
0 1
12.5%

tc_loss_ha_2022
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct8
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.75
Minimum0
Maximum145
Zeros1
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size192.0 B
2024-05-04T16:42:06.214782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.4
Q162.25
median91.5
Q3109.25
95-th percentile136.95
Maximum145
Range145
Interquartile range (IQR)47

Descriptive statistics

Standard deviation48.443634
Coefficient of variation (CV)0.59258268
Kurtosis-0.24748005
Mean81.75
Median Absolute Deviation (MAD)23.5
Skewness-0.68059524
Sum654
Variance2346.7857
MonotonicityStrictly decreasing
2024-05-04T16:42:06.367030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
145 1
12.5%
122 1
12.5%
105 1
12.5%
94 1
12.5%
89 1
12.5%
75 1
12.5%
24 1
12.5%
0 1
12.5%
ValueCountFrequency (%)
0 1
12.5%
24 1
12.5%
75 1
12.5%
89 1
12.5%
94 1
12.5%
105 1
12.5%
122 1
12.5%
145 1
12.5%
ValueCountFrequency (%)
145 1
12.5%
122 1
12.5%
105 1
12.5%
94 1
12.5%
89 1
12.5%
75 1
12.5%
24 1
12.5%
0 1
12.5%

Interactions

2024-05-04T16:41:51.486061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:13.031266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:17.005066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.751534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.728507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.347611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:33.967205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.343101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.332223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.704727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.784686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.620897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:59.055966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:03.242562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.796659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:11.218042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:15.396871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.989786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.319948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.813227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.506010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.857410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.685451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:43.776683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.931402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.626844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:13.175442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:17.180378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.901472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.877958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.498430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:34.113989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.493693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.476902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.858721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.946385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.780929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:59.215373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:03.400327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.951183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:11.368730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:15.542823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:19.203780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.460746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.968056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.653582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:36.020751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.846140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:44.002707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:48.072758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.780143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:13.322125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:17.344482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:22.049307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:26.037568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.640708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:34.253964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.641588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.620365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:47.014297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:51.116198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.933058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:59.363834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:03.551049image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:07.152974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:11.520601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:15.678135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:19.392191image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.607486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:27.121895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.802212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:36.178729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.991969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:44.254927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:48.220193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.935715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:13.476178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:17.502410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:22.193789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:26.193264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.788875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:34.401103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.784850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.760188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:47.170373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:51.271825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:55.083694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:59.502580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:03.709171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:07.450429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:11.667149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:15.834856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:19.603756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.753053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:27.274803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.975022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:36.337742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:40.141868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:44.468388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:48.365538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:52.089948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:13.615641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:17.648493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:22.342003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:26.335304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.950140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:34.545751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.928514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.904133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:47.349763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:51.442119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2024-05-04T16:40:58.272076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:02.475960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.053264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:10.465057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:13.991842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.265873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:22.584180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.056243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:29.717696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.080076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:38.886513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:42.578207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.147564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:50.742865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:55.941209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:16.381341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.164527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.119418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:28.788603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:33.380360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:37.503752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:41.712090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.115352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.178000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:53.976609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:58.439389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:02.641571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.202060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:10.618942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:14.142421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.411452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:22.739216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.215753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:29.878829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.240363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.045983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:42.749817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.310106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:50.898144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:56.207176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:16.542000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.307929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.252437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:28.927632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:33.522288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:37.747307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:41.857435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.269223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.319371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.133235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:58.592721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:02.796149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.343943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:10.757803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:14.282114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.548169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:22.878165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.365498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.026664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.385829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.203583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:42.981806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.453329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.059675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:56.518305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:16.696808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.459602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.401140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.072740image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:33.664607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.010539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.010072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.420611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.495875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.293461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:58.747721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:02.946613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.489514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:10.915857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:14.428608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.707644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.020411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.533376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.178959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.541975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.358946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:43.251483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.605779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.210300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:56.738256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:16.845665image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:21.607763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:25.552808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:29.205354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:33.802667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:38.202902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:42.169431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:46.555552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:50.631918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:54.463616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:40:58.894629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:03.089222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:06.637519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:11.066349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:15.259415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:18.840512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:23.152548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:26.667741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:30.331422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:35.695708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:39.504256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:43.508800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:47.758664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-04T16:41:51.346124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-05-04T16:42:06.565025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
extent_2000_haextent_2010_hatc_loss_ha_2001tc_loss_ha_2002tc_loss_ha_2003tc_loss_ha_2004tc_loss_ha_2005tc_loss_ha_2006tc_loss_ha_2007tc_loss_ha_2008tc_loss_ha_2009tc_loss_ha_2010tc_loss_ha_2011tc_loss_ha_2012tc_loss_ha_2013tc_loss_ha_2014tc_loss_ha_2015tc_loss_ha_2016tc_loss_ha_2017tc_loss_ha_2018tc_loss_ha_2019tc_loss_ha_2020tc_loss_ha_2021tc_loss_ha_2022threshold
extent_2000_ha1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
extent_2010_ha1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20011.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20021.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20031.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20041.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20051.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20061.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20071.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20081.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20091.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20101.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20131.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20141.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20151.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20161.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20171.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20181.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20191.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20201.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20211.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
tc_loss_ha_20221.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000-1.000
threshold-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.000-1.0001.000

Missing values

2024-05-04T16:41:57.037612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T16:41:57.638242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

countrysubnational1thresholdarea_haextent_2000_haextent_2010_hagain_2000-2020_hatc_loss_ha_2001tc_loss_ha_2002tc_loss_ha_2003tc_loss_ha_2004tc_loss_ha_2005tc_loss_ha_2006tc_loss_ha_2007tc_loss_ha_2008tc_loss_ha_2009tc_loss_ha_2010tc_loss_ha_2011tc_loss_ha_2012tc_loss_ha_2013tc_loss_ha_2014tc_loss_ha_2015tc_loss_ha_2016tc_loss_ha_2017tc_loss_ha_2018tc_loss_ha_2019tc_loss_ha_2020tc_loss_ha_2021tc_loss_ha_2022
0IndiaMadhya Pradesh0308053873080538730805387465587785535297599811168846819725283108984083590548970953540512734354145
1IndiaMadhya Pradesh1030805387230415216967284655870746943064782799566066860923494658658463838755744535111032841122
2IndiaMadhya Pradesh1530805387178031212334304655868443740260977194661361756121687849951356935651040932910531734105
3IndiaMadhya Pradesh203080538716369931177042465586794333976017639366016065542128694804845403434933923191013093294
4IndiaMadhya Pradesh25308053871377052109178346558636394353537710856540567517205820441453510321460356302963033089
5IndiaMadhya Pradesh3030805387107808486676446558631386346527697839527555508202803401374435271386274269872872675
6IndiaMadhya Pradesh50308053874411561661134655839721317025434542424430032713946915113618295149100127451951424
7IndiaMadhya Pradesh75308053871506568224655818594476452563828451846172613270100
countrysubnational1thresholdarea_haextent_2000_haextent_2010_hagain_2000-2020_hatc_loss_ha_2001tc_loss_ha_2002tc_loss_ha_2003tc_loss_ha_2004tc_loss_ha_2005tc_loss_ha_2006tc_loss_ha_2007tc_loss_ha_2008tc_loss_ha_2009tc_loss_ha_2010tc_loss_ha_2011tc_loss_ha_2012tc_loss_ha_2013tc_loss_ha_2014tc_loss_ha_2015tc_loss_ha_2016tc_loss_ha_2017tc_loss_ha_2018tc_loss_ha_2019tc_loss_ha_2020tc_loss_ha_2021tc_loss_ha_2022
0IndiaMadhya Pradesh0308053873080538730805387465587785535297599811168846819725283108984083590548970953540512734354145
1IndiaMadhya Pradesh1030805387230415216967284655870746943064782799566066860923494658658463838755744535111032841122
2IndiaMadhya Pradesh1530805387178031212334304655868443740260977194661361756121687849951356935651040932910531734105
3IndiaMadhya Pradesh203080538716369931177042465586794333976017639366016065542128694804845403434933923191013093294
4IndiaMadhya Pradesh25308053871377052109178346558636394353537710856540567517205820441453510321460356302963033089
5IndiaMadhya Pradesh3030805387107808486676446558631386346527697839527555508202803401374435271386274269872872675
6IndiaMadhya Pradesh50308053874411561661134655839721317025434542424430032713946915113618295149100127451951424
7IndiaMadhya Pradesh75308053871506568224655818594476452563828451846172613270100